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Handheld short-wavelength NIR spectroscopy for rapid determination of sugars and carbohydrate in fresh juice with sampling error profile analysis

文献类型： 外文期刊

作者： Chen, Wanchao 1 ; Li, Hui 3 ; Zhang, Feiyu 2 ; Xiao, Weimin 4 ; Zhang, Ruoqiu 2 ; Chen, Zengkai 2 ; Du, Yiping 2 ;

作者机构： 1.Shanghai Acad Agr Sci, Minist Agr, Natl Engn Res Ctr Edible Fungi, Inst Edible Fungi,Key Lab Edible Fungi Resources, 1000 Jinqi Rd, Shanghai 201403, Peoples R China

2.East China Univ Sci & Technol, Sch Chem & Mol Engn, Lab Funct Mat Chem, Shanghai Key, 130 Meilong Rd, Shanghai 200237, Peoples R China

3.Dehong Teachers Coll, Sch Agron & Biosci, Xianchi Rd 14, Mangshi 678400, Yunnan, Peoples R China

4.Philips China Investment Co Ltd, Bldg A1,718 Lingshi Rd, Shanghai 200065, Peoples R China

关键词： Shortwave NIR; Sugars and carbohydrate; Fresh fruit and vegetable juice; Sampling error profile analysis; PLSR

期刊名称：INFRARED PHYSICS & TECHNOLOGY （ 影响因子：2.638； 五年影响因子：2.581 ）

ISSN： 1350-4495

年卷期： 2021 年 115 卷

页码：

收录情况： SCI

摘要： Fresh fruit and vegetable juices have become fashionable drinks, in which sugars and carbohydrates contents have always been focused by consumers. Herein, a rapid and convenient analytical method based on handheld short-wavelength NIR (SW-NIR) spectroscopy and PLS regression modeling was developed. For accurate results, the strategy of Sampling Errors Profile Analysis (SEPA) was applied to make the results more accurate. For the determination of sugars content, the obtained the interquartile ranges (IQR), R-p(2), RMSEP and the ratio of performance to deviation (RPD) were 0.30%, 0.89, 0.95% and 3.06, respectively when raw spectra were used for modeling. For carbohydrate, the corresponding indicators were 0.14% 0.96, 0.63% and 5.06, respectively if the first derivative was used to pretreat the spectra. Compared with the modeling results from the desktop short-wavelength NIR devices, the RMSEP and RPD was reduced by 16.8, 20.3% of sugar and 22.2, 28.7% for carbohydrate, respectively. The current results demonstrated that the handheld SW-NIR sensor enables the development of a broad range of sensing integrated applications on determine sugars and carbohydrate in fresh juice.

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